Enhancing traffic safety by forecasting the severity of road accident injuries using pyramidal dilation attention convolutional networks designed by the reptile search algorithm
The results demonstrate that the proposed PRCIS-PDACN-RSA framework outperforms existing methods in predicting road crash injury severity. Its high accuracy, robustness, and efficient handling of pre-processing and optimization highlight its suitability for real-world intelligent traffic safety systems.
Authors
- Ramesh Cheripelli (ORCID: https://orcid.org/0000-0002-5277-816X)
- Venkata Ramana K
- Nanditha Boddu
Institutions
- Vignana Jyothi Institute of Management (IN)
- Institute of Engineering (NP)
- Vidyasirimedhi Institute of Science and Technology (TH)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1080/15389588.2025.2549886
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00